Salary
💰 $175,000 - $350,000 per year
Tech Stack
AzureCloudGoogle Cloud PlatformPythonTypeScript
About the role
- Lead the design, development, and deployment of enterprise-grade Gen AI and agentic AI applications
- Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines with hybrid retrieval, semantic chunking, and vector search
- Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services
- Work with unstructured data (PDFs, HTML, audio, images) and multimodal models
- Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking
- Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions
- Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy
- Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions
Requirements
- 8+ years in software engineering or data science
- 3+ years in Gen AI or LLM-based systems
- Strong programming skills in TypeScript, Python, or similar languages
- Experience with REST API development, containerization, and cloud platforms (Azure, GCP)
- Experience with Azure OpenAI and GCP Vertex AI
- Deep understanding of AI governance, model safety, and prompt engineering
- Experience with LLMOps practices including prompt versioning, caching, observability, and cost tracking
- Proven ability to lead teams and deliver enterprise-grade AI applications
- Excellent communication, collaboration, and problem-solving skills
- Bonus: Experience with BytePro LOS and Asterisk telephony systems
- Bonus: Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA
- Bonus: Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager
- Bonus: Experience in fintech, lending, or mortgage tech
- Bonus: Contributions to open-source Gen AI or document AI projects
- Bonus: Knowledge of compliance workflows (e.g., KYC, income verification)
- Bonus: Experience with multimodal AI and agentic frameworks